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The Development of a Weighted Evolving Fuzzy Neural Network

  • Pei-Chann Chang
  • Chen-Hao Liu
  • Chia-Hsuan Yeh
  • Shih-Hsin Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

This study modifies the Evolving Fuzzy Neural Network Framework (EFuNN framework) proposed by Kasabov (1998) and adopts a weighted factor to calculate the importance of each factor among these different rules. In addition, an exponential transfer function (exp (-D)) is employed to transfer the distance of any two factors into the value of similarity among different rules, thus a different rule clustering method is developed accordingly. The intensive experimental results show that the WEFuNN performs very well when applied in the PCB sales forecasting.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Pei-Chann Chang
    • 1
  • Chen-Hao Liu
    • 1
  • Chia-Hsuan Yeh
    • 2
  • Shih-Hsin Chen
    • 1
  1. 1.Department of Industrial Engineering and Management, Yuan-Ze University, 135 Yuan-Dong Rd., Taoyuan 32026Taiwan
  2. 2.Department of Information Management, Yuan-Ze University, 135 Yuan-Dong Rd., Taoyuan 32026Taiwan

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